Interoperability vendors with a unique set of features newly termed Datasynthex vendorsWhite paper
Many who are responsible for expanding, accuracy, and leveraging data in healthcare often leverage companies known for their interoperability and data integration capabilities (e.g., 1up, Health Gorilla, Verato, One Record, Particle Health et al). There are also QHINs, HIEs, Information exchange organizations and corporations (e.g., MedAllies, Health Gorilla, Epic, Commonwell).
Healthcare organizations in general want to take advantage of the ease of exchange of data first and foremost, be regulatorily compliant according to the newer and expanding interoperability mandates, expand their data sets by taking advantage of the expansive sets of data that are within the healthcare and life sciences ecosystem.
So often companies like the ones listed above are lumped into the category of interoperability vendors or information exchanges. However, a more nuanced and critical capability is emerging in the interoperability vendor space, that performs like switch vendors do in the fintech arena. Some of the interoperability vendors also legally broker the relationship aspects of consent and sharing of clinical, retail, and revenue cycle data upon customer/patient consent.
Shawna Koch Mishael, a nurse and MBA, is a modern cloud-based clinical executive with 20+ years of expertise in solving complex healthcare business challenges and leading interdisciplinary teams to assist healthcare organizations and leaders in analyzing, designing, and implementing process and technology solutions. She is known for her focused, integrated consulting approach, where all efforts are geared towards return on investment and measurable results for her customers. Shawna is also known for solutions that are elegant, practical, and cost-effective as they pertain to the problem at hand and the long-term total cost of ownership.
Scientific Publications
Perfect prosthetic heart valve: generative design with machine learning, modeling, and optimization
Excess mortality in Ukraine during the course of COVID-19 pandemic in 2020–2021
Use of semi-synthetic data for catheter segmentation improvement
A multi-reference poly-conformational method for in silico design, optimization, and repositioning of pharmaceutical compounds illustrated for selected SARS-CoV-2 ligands
Novel Efficient Multistage Lead Optimization Pipeline Experimentally Validated for DYRK1B Selective Inhibitors
AnFiSA: an Open-Source Computational Platform for the Analysis of Sequencing Data for Rare Genetic Disease
PyVaporation: A Python Package for Studying and Modelling Pervaporation Processes
Automatic Scoring of COVID-19 Severity in X-ray Imaging Based on a Novel Deep Learning Workflow
Indirect supervision applied to COVID-19 and pneumonia classification
Analysis of 329,942 SARS-CoV-2 Records Retrieved from GISAID Database
Quantori is excited to share research findings that are available on Cold Spring Harbor Laboratory's bioRxiv preprint server for biology "Analysis of 329,942 SARS-CoV-2 records retrieved from GISAID database"